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Tell a story of threatened species in Victoria through Data Visualisations | Data manipulation: Python, Pandas | Webscraping | Back-end: Python Flask-powered RESTful API backed by MongoDB | Front-end: HTML, CSS (with Bootstrap) and Javascript (with Leaflet.js, Plotly.js)
In an emergency, rapidly identifying the location of a fire is critical. With this application a user selects 2 or more towers on the map. The intersection of lines drawn from each tower at the given bearing indicates the location of the smoke.
Experimental replacement for couchbase's default entity converter using GSON instead and providing a powerful DAO API. It's full featured providing extended life cycle observing and database backed on disk data structures alongside with extensive entity management via annotations.